clusboot {ClusBoot}

R Documentation

Performs bootstrap on a cluster analysis output

Description

Performs bootstrap on a cluster analysis output

Usage

clusboot(datmat, B = 1000, clustering.func = complete.linkage, ...)

Arguments

datmat	a data matrix or distance object which will be the input to the clustering function
B	number of bootstrap replicates
clustering.func	the function which will perform the clustering and output a vector of cluster memberships
...	more arguments to be passed to the clustering function

Details

Any R function performing cluster analysis can be specified in clustering.func although a wrapper function is typically needed to isolate only the vector output of cluster memberships. See ?complete.linkage as an example. Should users perfer to use alternative resamling schemes, other than the bootstrap, Hennig (2007) discuss a variety of options which could be accessed by specifying clustering.func = fpc.clusterboot. In addition, the sampling method is specified in the argument bootmethod and additional arguments for the function clusterboot in the package fpc must be given. Note that only the resampling facilities of clusterboot is utilised while the computation of proportions and silhouette widths remain unchanged.

Value

an object of type clusboot

References

Hennig, C., 2007. Cluster-wise assessment of cluster stability. Computational Statistics & Data Analysis, 52(1), pp.258-271.

Examples

clusboot (scale(case.study.psychiatrist), B=100, k=6, clustering.func=complete.linkage)
library(fpc)
clusboot (scale(case.study.psychiatrist), B=100, k=6, clustering.func=fpc.clusterboot,
          clustermethod=hclustCBI, method="complete", bootmethod="subset", subtuning=10)

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